Pathological Diagnosis of Adult Craniopharyngioma on MR Images: An Automated End-to-End Approach Based on Deep Neural Networks Requiring No Manual Segmentation

Purpose: The goal of this study was to develop end-to-end convolutional neural network (CNN) models that can noninvasively discriminate papillary craniopharyngioma (PCP) from adamantinomatous craniopharyngioma (ACP) on MR images requiring no manual segmentation. Materials and methods: A total of 97...

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Detalles Bibliográficos
Autores principales: Teng, Yuen, Ran, Xiaoping, Chen, Boran, Chen, Chaoyue, Xu, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782822/
https://www.ncbi.nlm.nih.gov/pubmed/36556097
http://dx.doi.org/10.3390/jcm11247481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782822/
https://www.ncbi.nlm.nih.gov/pubmed/36556097
http://dx.doi.org/10.3390/jcm11247481

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